The Agricultural Research Analyst is responsible for collecting, analyzing, and interpreting agricultural data to support strategic decision-making and innovation in crop estimations, forecasts, and impact of climate on crop production. This role contributes to the development of evidence-based recommendations that improve crop prediction and availability for trading decisions
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Key Performance Areas
(Main Responsibilities)
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Performance Indicators
(Main Results)
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| 1. Crop Estimation and Forecasting |
Assist in accurate crop yield forecasting across regions and seasons. |
| 2. Regional Analysis andClimateImpact |
Deliver insights on regional agricultural performance and climate-relatedrisks. |
| 3. Data Integration andPredictiveModeling |
Assist in the development of predictive models to support trade decisions. |
| 4. Stakeholder EngagementandCollaboration |
Facilitate effective collaboration with internal and external stakeholders. |
| 5. Reporting andStrategicRecommendations |
Provide timely, evidence-based recommendations for operationalandcommercial planning. |
Task Descriptions for Key Performance Areas
1. Crop Estimation and Forecasting
• Collect and validate data from field reports, satellite imagery, and weather stations.
• Develop and maintain forecasting models using historical and real-time data.
• Compare forecast outputs with actual harvest data to refine model accuracy.
• Report forecast results to internal stakeholders for planning and trade decisions.
2. Regional Analysis and Climate Impact
• Analyze regional differences in soil, rainfall, and temperature patterns.
• Assess the impact of climate variability on crop cycles and yields.
• Create regional profiles highlighting strengths, risks, and opportunities.
• Collaborate with climate scientists and agronomists to integrate findings.
3. Data Integration and Predictive Modeling
• Integrate multiple data sources (e.g., market trends, weather forecasts, planting schedules).
• Use statistical and machine learning tools to build predictive models.
• Test and validate models for reliability and scalability.
• Present model outputs in user-friendly formats for decision-makers.
4. Stakeholder Engagement and Collaboration
• Liaise with traders, agronomists, and data providers to gather insights.
• Participate in cross-functional meetings to align research with business needs.
• Share findings through presentations, dashboards, and technical reports.
5. Reporting and Strategic Recommendations
• Prepare daily and weekly reports on crop forecasts and regional trends.
• Highlight risks and opportunities for procurement and trade teams.
• Contribute to strategic planning sessions with data-driven insights.
| Education |
Grade 12 or equivalent |
| Tertiary Education |
Bachelor’s degree in Agricultural Economy, Data Science |
| Software Proficiency |
MS Excel, GIS software, statistical analysis tools (R, Python, SPSS), datavisualizationplatforms |
| Experience |
5 - 7 years in agricultural data analysis, forecasting, or research |
| Other (e.g.Driver’slicense) |
Valid driver’s license; willingness to travel to field sites and attend industry events |
EMAIL CV IN WORD FORMAT: cvs@agricruitment.co.za
Please consider your application as unsuccessful if you have not been contacted within 2 weeks.
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